IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i5p3783-d1075167.html
   My bibliography  Save this article

Synanthropic and Wild Animals as Sentinels of Zoonotic Agents: A Study of Leptospira Genotypes Circulating in Northeastern Italy

Author

Listed:
  • Elisa Mazzotta

    (Istituto Zooprofilattico Sperimentale delle Venezie, 35020 Legnaro, Italy)

  • Laura Bellinati

    (Istituto Zooprofilattico Sperimentale delle Venezie, 35020 Legnaro, Italy)

  • Cristina Bertasio

    (National Reference Centre for Animal Leptospirosis, Istituto Zooprofilattico Sperimentale della Lombardia ed Emilia Romagna “Bruno Ubertini”, 25121 Brescia, Italy)

  • Maria Beatrice Boniotti

    (National Reference Centre for Animal Leptospirosis, Istituto Zooprofilattico Sperimentale della Lombardia ed Emilia Romagna “Bruno Ubertini”, 25121 Brescia, Italy)

  • Laura Lucchese

    (Istituto Zooprofilattico Sperimentale delle Venezie, 35020 Legnaro, Italy)

  • Letizia Ceglie

    (Istituto Zooprofilattico Sperimentale delle Venezie, 35020 Legnaro, Italy)

  • Federico Martignago

    (Istituto Zooprofilattico Sperimentale delle Venezie, 35020 Legnaro, Italy)

  • Stefania Leopardi

    (Istituto Zooprofilattico Sperimentale delle Venezie, 35020 Legnaro, Italy)

  • Alda Natale

    (Istituto Zooprofilattico Sperimentale delle Venezie, 35020 Legnaro, Italy)

Abstract

Leptospirosis is an infectious disease widely reported in veterinary practice and a worldwide zoonosis. In Northeastern Italy, different serogroups and genotypes of Leptospira have been described in ill dogs, the most commonly detected being Icterohaemorragiae (ICT) ST 17, Australis (AUS) ST 24 and ST 198, Pomona (POM) ST 117 and ST 289, and Sejroe (SEJ) ST 155. However, there is little information available on the environmental exposure to Leptospira of wild and synanthropic animals. The aim of this study was to identify the circulating genotypes in potential reservoirs to fill this gap of knowledge. Between 2015 and 2022, 681 animal carcasses collected by the Public Veterinary Service were analyzed for Leptospira with a real-time PCR-based screening test, while positive samples were genotyped by multi-locus sequence typing analysis. To carry out our study, we tested 330 hedgehogs, 105 red foxes, 108 Norway rats, 79 mice, 22 coypus, 10 bank voles, 13 grey wolves, 5 common shrews and 9 greater mouse-eared bats. Five sequence types (STs) common in dogs were also found in wild animals: ST 24, ST 198, ST 17 and ST 155 in hedgehogs, ST 17 and ST 24 in foxes, ST 17 in rats, ST 17 and ST 155 in mice, and ST 117 in a wolf. In addition, to the best of the authors’ knowledge, this is the first Italian report of SEJ ST 197 in a bank vole. Furthermore, this study described a previous survey conducted in 2009 on coypus (30 animals from the province of Trento and 41 from the province of Padua), referring to a serological positivity ( L . Bratislava) without any molecular detection of Leptospira . This study on Leptospira in synanthropic and wild animals highlighted the importance of increasing our epidemiological knowledge of leptospirosis and its zoonotic risks.

Suggested Citation

  • Elisa Mazzotta & Laura Bellinati & Cristina Bertasio & Maria Beatrice Boniotti & Laura Lucchese & Letizia Ceglie & Federico Martignago & Stefania Leopardi & Alda Natale, 2023. "Synanthropic and Wild Animals as Sentinels of Zoonotic Agents: A Study of Leptospira Genotypes Circulating in Northeastern Italy," IJERPH, MDPI, vol. 20(5), pages 1-14, February.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:5:p:3783-:d:1075167
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/5/3783/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/20/5/3783/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Elisa Mazzotta & Laura Lucchese & Cristiano Salata & Tommaso Furlanello & Ermenegildo Baroni & Alessandro Zotti & Gabriele Venturi & Alice Fincato & Silvia Marchione & Katia Capello & Alda Natale, 2022. "Are Small Animal Practitioners Occupationally Exposed to Leptospirosis? Results of a Serological Survey," IJERPH, MDPI, vol. 19(3), pages 1-8, February.
    2. Yeojin Chung & Sophia Rabe-Hesketh & Vincent Dorie & Andrew Gelman & Jingchen Liu, 2013. "A Nondegenerate Penalized Likelihood Estimator for Variance Parameters in Multilevel Models," Psychometrika, Springer;The Psychometric Society, vol. 78(4), pages 685-709, October.
    3. Marco Bregoli & Stefano Pesaro & Martina Ustulin & Denis Vio & Paola Beraldo & Marco Galeotti & Monia Cocchi & Laura Lucchese & Cristina Bertasio & Maria Beatrice Boniotti & Luca Lapini & Alda Natale, 2021. "Environmental Exposure of Wild Carnivores to Zoonotic Pathogens: Leptospira Infection in the First Free Living Wolf ( Canis lupus Linnaeus, 1758) Found Dead in the Friuli Venezia Giulia Region," IJERPH, MDPI, vol. 18(5), pages 1-7, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Barakat, Bilal Fouad & Dharamshi, Ameer & Alkema, Leontine & Antoninis, Manos, 2021. "Adjusted Bayesian Completion Rates (ABC) Estimation," SocArXiv at368, Center for Open Science.
    2. Christopher N. Boyer & Dayton M. Lambert & Charles C. Martinez & Joshua G. Maples, 2023. "Beef and pork processing plant labor costs," Agribusiness, John Wiley & Sons, Ltd., vol. 39(3), pages 691-702, July.
    3. Meager, Rachael, 2019. "Understanding the average impact of microcredit expansions: a Bayesian hierarchical analysis of seven randomized experiments," LSE Research Online Documents on Economics 88190, London School of Economics and Political Science, LSE Library.
    4. Ameer Dharamshi & Bilal Barakat & Leontine Alkema & Manos Antoninis, 2022. "A Bayesian model for estimating Sustainable Development Goal indicator 4.1.2: School completion rates," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(5), pages 1822-1864, November.
    5. Pittau, Maria Grazia & Farcomeni, Alessio & Zelli, Roberto, 2016. "Has the attitude of US citizens towards redistribution changed over time?," Economic Modelling, Elsevier, vol. 52(PB), pages 714-724.
    6. Bates, Douglas & Mächler, Martin & Bolker, Ben & Walker, Steve, 2015. "Fitting Linear Mixed-Effects Models Using lme4," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 67(i01).
    7. Clifford, Scott & Rainey, Carlisle, 2023. "Estimators for Topic-Sampling Designs," SocArXiv 7ady6, Center for Open Science.
    8. James E. Pustejovsky & Larry V. Hedges & William R. Shadish, 2014. "Design-Comparable Effect Sizes in Multiple Baseline Designs," Journal of Educational and Behavioral Statistics, , vol. 39(5), pages 368-393, October.
    9. Yeojin Chung & Andrew Gelman & Sophia Rabe-Hesketh & Jingchen Liu & Vincent Dorie, 2015. "Weakly Informative Prior for Point Estimation of Covariance Matrices in Hierarchical Models," Journal of Educational and Behavioral Statistics, , vol. 40(2), pages 136-157, April.
    10. Meager, Rachael, 2022. "Aggregating distributional treatment effects: a Bayesian hierarchical analysis of the microcredit literature," LSE Research Online Documents on Economics 115559, London School of Economics and Political Science, LSE Library.
    11. Lars Lenze & Claudia Klostermann & Markus Lamprecht & Siegfried Nagel, 2021. "Taking Up and Terminating Leisure-Time Physical Activity over the Life Course: The Role of Life Events in the Familial and Occupational Life Domains," IJERPH, MDPI, vol. 18(18), pages 1-15, September.
    12. Steffen Nestler & Edgar Erdfelder, 2023. "Random Effects Multinomial Processing Tree Models: A Maximum Likelihood Approach," Psychometrika, Springer;The Psychometric Society, vol. 88(3), pages 809-829, September.
    13. Rico Krueger & Taha H. Rashidi & Akshay Vij, 2020. "X vs. Y: an analysis of intergenerational differences in transport mode use among young adults," Transportation, Springer, vol. 47(5), pages 2203-2231, October.
    14. Krueger, Rico & Rashidi, Taha H. & Vij, Akshay, 2018. "X vs. Y: An Analysis of Intergenerational Differences in Transport Mode Use Among Young Adults," SocArXiv unezy, Center for Open Science.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:20:y:2023:i:5:p:3783-:d:1075167. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.